{"id":"https://openalex.org/W2736493290","doi":"https://doi.org/10.1145/3105971.3105978","title":"Evaluating the effects of size in linesets","display_name":"Evaluating the effects of size in linesets","publication_year":2017,"publication_date":"2017-08-14","ids":{"openalex":"https://openalex.org/W2736493290","doi":"https://doi.org/10.1145/3105971.3105978","mag":"2736493290"},"language":"en","primary_location":{"id":"doi:10.1145/3105971.3105978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3105971.3105978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Symposium on Visual Information Communication and Interaction","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025393027","display_name":"Dominique Tranquille","orcid":null},"institutions":[{"id":"https://openalex.org/I71637028","display_name":"University of Brighton","ror":"https://ror.org/04kp2b655","country_code":"GB","type":"education","lineage":["https://openalex.org/I71637028"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dominique Tranquille","raw_affiliation_strings":["University of Brighton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Brighton, UK","institution_ids":["https://openalex.org/I71637028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057312942","display_name":"Gem Stapleton","orcid":"https://orcid.org/0000-0002-6567-6752"},"institutions":[{"id":"https://openalex.org/I71637028","display_name":"University of Brighton","ror":"https://ror.org/04kp2b655","country_code":"GB","type":"education","lineage":["https://openalex.org/I71637028"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gem Stapleton","raw_affiliation_strings":["University of Brighton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Brighton, UK","institution_ids":["https://openalex.org/I71637028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058556878","display_name":"Jim Burton","orcid":"https://orcid.org/0000-0002-0738-6677"},"institutions":[{"id":"https://openalex.org/I71637028","display_name":"University of Brighton","ror":"https://ror.org/04kp2b655","country_code":"GB","type":"education","lineage":["https://openalex.org/I71637028"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jim Burton","raw_affiliation_strings":["University of Brighton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Brighton, UK","institution_ids":["https://openalex.org/I71637028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048815064","display_name":"Peter Rodgers","orcid":"https://orcid.org/0000-0002-4100-3596"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Rodgers","raw_affiliation_strings":["University of Kent, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent, UK","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45925068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"121","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9236999750137329,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.7141047716140747},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.7072603702545166},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.6961774230003357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.686880350112915},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6614946126937866},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5911134481430054},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5516699552536011},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.44185811281204224},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35762450098991394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33973902463912964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3107795715332031},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18013063073158264},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08720210194587708}],"concepts":[{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.7141047716140747},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.7072603702545166},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.6961774230003357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686880350112915},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6614946126937866},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5911134481430054},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5516699552536011},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.44185811281204224},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35762450098991394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33973902463912964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3107795715332031},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18013063073158264},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08720210194587708},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3105971.3105978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3105971.3105978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Symposium on Visual Information Communication and Interaction","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:63459","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3105971.3105978>)","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:pure.atira.dk:publications/42699205-8b51-448b-a914-421dec1c141a","is_oa":false,"landing_page_url":"https://research.brighton.ac.uk/en/publications/42699205-8b51-448b-a914-421dec1c141a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401758","display_name":"University of Brighton Repository (University of Brighton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71637028","host_organization_name":"University of Brighton","host_organization_lineage":["https://openalex.org/I71637028"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Tranquille, D, Stapleton, G, Burton, J & Rodgers, P 2017, Evaluating the Effects of Size in LineSets. in The 10th International Symposium on Visual Information Communication and Interaction. ACM, Bangkok, pp. 0-0, The 10th International Symposium on Visual Information Communication and Interaction, 1/01/17. https://doi.org/10.1145/3105971.3105978","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2307309","https://openalex.org/W241117969","https://openalex.org/W335508997","https://openalex.org/W1546650522","https://openalex.org/W1557977305","https://openalex.org/W1823329909","https://openalex.org/W1985574637","https://openalex.org/W1996136679","https://openalex.org/W1998748466","https://openalex.org/W2041043224","https://openalex.org/W2049012614","https://openalex.org/W2085995966","https://openalex.org/W2099840845","https://openalex.org/W2121487911","https://openalex.org/W2123966170","https://openalex.org/W2126422062","https://openalex.org/W2128852435","https://openalex.org/W2154391837","https://openalex.org/W2159205441","https://openalex.org/W2167681568","https://openalex.org/W2168508499","https://openalex.org/W2171325228","https://openalex.org/W2296697533","https://openalex.org/W2419145155","https://openalex.org/W2494296837","https://openalex.org/W3141524511","https://openalex.org/W3145314891"],"related_works":["https://openalex.org/W2377559894","https://openalex.org/W2105200106","https://openalex.org/W2016648600","https://openalex.org/W2172127625","https://openalex.org/W2155831461","https://openalex.org/W2205837543","https://openalex.org/W2158002945","https://openalex.org/W2157178603","https://openalex.org/W2156634801","https://openalex.org/W2362367986"],"abstract_inverted_index":{"LineSets":[0,47,127],"represent":[1],"information":[2],"about":[3],"sets":[4],"by":[5,84],"drawing":[6],"one":[7],"line":[8],"for":[9],"each":[10],"set":[11,57],"on":[12,49],"an":[13],"existing":[14],"visualization":[15],"of":[16,29,35,42,69,115,130],"data":[17,65],"items.":[18],"This":[19],"paper":[20],"addresses":[21],"the":[22,27,33,85,113,124],"following":[23],"question:":[24],"does":[25],"manipulating":[26],"size":[28,43,86],"visual":[30],"elements":[31],"affect":[32],"comprehension":[34,96],"LineSets?":[36],"We":[37],"empirically":[38],"evaluated":[39],"two":[40],"types":[41],"treatments":[44],"applied":[45],"to":[46,54,63,75,81,123],"drawn":[48],"networks:":[50],"varying":[51,60,105],"set-line":[52,106],"thickness,":[53],"reflect":[55,64],"relative":[56,67],"cardinality,":[58],"and":[59,99,108,132],"node":[61,109],"diameter,":[62],"items'":[66],"degree":[68],"connectivity.":[70],"The":[71],"evaluation":[72],"required":[73],"participants":[74],"perform":[76],"tasks":[77,89],"that":[78,104,126],"were":[79],"thought":[80],"be":[82],"aided":[83],"variations":[87],"alongside":[88],"where":[90],"no":[91],"benefit":[92],"was":[93],"anticipated.":[94],"Viewing":[95],"through":[97],"accuracy":[98],"time":[100],"performance,":[101],"we":[102],"found":[103],"thickness":[107],"diameter":[110],"significantly":[111],"improves":[112],"effectiveness":[114],"LineSets.":[116],"As":[117],"a":[118],"consequence,":[119],"this":[120],"research":[121],"leads":[122],"recommendation":[125],"vary":[128],"sizes":[129],"lines":[131],"nodes.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
